THE IMPACT OF INDOOR CYCLING TRAINING ON EXERCISE CAPACITY AND BLOOD LIPID PROFILE OF MEN WITH ISCHAEMIC HEART DISEASE OR AFTER MYOCARDIAL INFARCTION

Aim. In the present study attempts to determine the impact of 1-month Indoor Cycling training on exercise capacity and blood lipid profile were made.

Material and methods. The study group consisted of 50 men under the model A of the 2nd phase of cardiac rehabilitation (20 men of the Indoor Cycling group, IC, 20 men rehabilitated accordingly to the recommendations of the Polish Cardiac Society — a standard group, ST and 10 people who did not participate in any cardiac rehabilitation program — a control group, C). The average age of all subjects was 56,60±8,25 years, the average left ventricular ejection fraction was 56%±4,00.

Results. In the IC group there was a significant increase in the test duration (8,47 vs 10,23 min; p<0,001), a significant increase in the MET value (10,86 vs 12,35; p=0,06) and VO2 max (38,43 vs 48,25 ml/kg/min; p<0,001). Parallel changes were observed in the ST group, where the following parameters improved: the test duration (8,51 vs 9,96; p<0,001), MET value (10,57 vs 12,18; p=0,002) and VO2 max (38,42 vs 46,24; p<0,001). No significant changes in rest and maximum heart rate as well as systolic and diastolic blood pressure parameters were found. In C group no significant changes in treadmill exercise test parameters were observed. Alike in the IC, ST as well as in the C group, positive modification of blood lipid profile was observed. The significant increase in the average value of HDL cholesterol in the control group (41,00 vs 49,52 mg/dl; p<0,05) was only found.

Conclusion. Indoor Cycling training in the second phase of cardiac rehabilitation is a safe form of therapy and therefore may be an interesting alternative method to the classic bicycle ergometer exercise in the stage of an early cardiac rehabilitation.

1. Peçanha T, Silva-Júnior ND, Forjaz CL. Heart rate recovery: autonomic determinants, methods of assessment and association with mortality and cardiovascular diseases. Clin Physiol Funct Imaging. 2014 Sep;34(5):327-39.

2. Pescatello LS, Guidry MA, Blanchard BE, et al. Exercise intensity alters postexercise hypotension. Journal of hypertension. 2004;22(10):1881-8.

3. Moreno IL, Pastre CM, Ferreira C, et al. Effects of an isotonic beverage on autonomic regulation during and after exercise. Journal of the International Society of Sports Nutrition. 2013;10(1):2.

4. Valenti VE. Heart rate variability as a functional marker of development. Journal of Human Growth and Development. 2015; 25:137-140.

5. Ogata CM, Navega MT, Abreu LC, et al. A single bout of exercise with a flexible pole induces significant cardiac autonomic responses in healthy men. Clinics (Sao Paulo). 2014 Sep;69(9):595-600.

6. Dos Santos António AM, Navega MT, Cardoso MA, et al. Cardiac autonomic responses induced by a single bout of exercise with flexible pole. Int Arch Med. 2014 Sep 23;7(1):40.

7. de Oliveira LS, Moreira PS, Antonio AM, et al. Acute effects of flexible pole exercise on heart rate dynamics. Rev Port Cardiol. 2015 Jan;34(1):35-42.

8. Jouven X, Empana J-P, Schwartz PJ, et al. Heart-Rate Profile during Exercise as a Predictor of Sudden Death. N Engl J Med. 2005;352:1951–8.

9. Mackey MC, Milton JG. Dynamical diseases. Annals of the New York Academy of Sciences. 1987;504(1):16-32.

10. Morini SM, dos Santos CA, Antonio AMS, et al. Geometric and linear indices of heart rate variability during an exercise with flexible pole. Russ J Cardiol. 2015;4(120):13-9.

11. Antonio AMS, Garner DM, Cardoso MA, et al. Behaviour of globally chaotic parameters of heart rate variability following a protocol of exercise with flexible pole. Russ J Cardiol. 2015;4(120):24-8.

12. Garner DM, Ling BWK. Measuring and locating zones of chaos and irregularity. J Syst Sci Complex. 2014;27(3):494-506.

13. Wajnsztejn R, De Carvalho TD, Garner DM, et al. Heart rate variability analysis by chaotic global techniques in children with attention deficit hyperactivity disorder. Complexity. 2015.

14. Pincus SM. Approximate entropy as a measure of system complexity. Proceedings of the National Academy of Sciences. 1991;88(6):2297-301.

15. Richman JS, Moorman JR. Physiological time-series analysis using approximate entropy and sample entropy. American journal of physiology Heart and circulatory physiology. 2000;278(6):H2039-49.

16. Shannon CE. A Mathematical Theory of Communication. The Bell System Technical Journal. 1948;27:379-423.

17. Zyczkowski K. Renyi extrapolation of Shannon entropy. Open Systems & Information Dynamics. 2003;3(10):297-310.

18. dos Santos RJ. Generalization of Shannon’s theorem for Tsallis entropy. Journal of Mathematical Physics. 1997;38(8):4104.

19. Moreno IL, Pastre CM, Ferreira C, Effects of an isotonic beverage on autonomic regulation during and after exercise. J Int Soc Sports Nutr. 2013 Jan 4;10(1):2.

20. Bai X, Li J, Zhou L, Li X. Influence of the menstrual cycle on nonlinear properties of heart rate variability in young women. American Journal of Physiology-Heart and Circulatory Physiology. 2009;297(2):H765-H74.

21. Rzewnicki R, Auweele YV, Bourdeaudhuij ID. Addressing overreporting on the International Physical Activity Questionnaire (IPAQ) telephone survey with a population sample. Public Health Nutrition. 2003;6(03):299-305.

22. Sugimoto D, Blanpied P. Flexible foil exercise and shoulder internal and external rotation strength. Journal of athletic training. 2006;41(3):280.

23. Camm AJ, Malik M, Bigger JT, et al. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation 1996;93:1043-1065.

24. Barbosa MPR, Silva NT, Azevedo FM, et al.Comparison of Polar® RS800G3™ heart rate monitor with Polar® S810i™ and electrocardiogram to obtain the series of RR intervals and analysis of heart rate variability at rest. Clin Physiol Funct Imaging 2014. In press.

25. Vanderlei LCM, Pastre CM, Hoshi RA, et al. Basic notions of heart rate variability and its clinical applicability. Revista Brazileira de Cirurgia Cardiovascular. 2009;24(2):205-17.

26. Tulppo MP, Mäkikallio TH, Seppänen T, et al. Vagal modulation of heart rate during exercise: effects of age and physical fitness. Am J Physiol 1998;274:H424-H429.

27. Shannon CE. A mathematical theory of communication. ACM SIGMOBILE Mobile Computing and Communications Review. 2001;5(1):3-55.

28. Bernardo AFB, Vanderlei LCM, Garner DM. HRV Analysis — A clinical and diagnostic tool in Chronic Obstructive Pulmonary Disease. International Scholarly Research Notices. 2014;2014:1-6.

29. Fontes AM, Garner DM, De Abreu LC, et al. Global chaotic parameters of heart rate variability during mental task. Complexity. 2015;4(120).

30. Gomes Fontes AM, Guida HL, Barbosa JC, et al. Auditory stimulation with music intensifies cardiac autonomic responses to a mental task. Focus on Alternative and Complementary Therapies. 2014;19(4):198-207.

31. Walsh TS, Ramsay P, Lapinlampi TP, et al. An assessment of the validity of spectral entropy as a measure of sedation state in mechanically ventilated critically ill patients. Intensive Care Med. 2008;34(2):308-15.

32. Wysocki M, Fiamma MN, Straus C, et al.Chaotic dynamics of resting ventilatory flow in humans assessed through noise titration. Respiratory physiology & neurobiology. 2006;153(1):54-65.

33. Ponnusamy A, Marques JL, Reuber M. Comparison of heart rate variability parameters during complex partial seizures and psychogenic nonepileptic seizures. Epilepsia. 2012;53(8):1314-21.

34. Abasolo D, Hornero R, Espino P, et al. Entropy analysis of the EEG background activity in Alzheimer’s disease patients. Physiol Meas. 2006;27(3):241-53.

35. Hornero R, Abasolo D, Escudero J, Gomez C. Nonlinear analysis of electroencephalogram and magnetoencephalogram recordings in patients with Alzheimer’s disease. Philosophical transactions Series A, Mathematical, physical, and engineering sciences. 2009;367(1887):317-36.

36. Anderson TW, Darling DA. A test of goodness of fit. Journal of the American Statistical Association. 1954;49(268):765-9.

37. Razali NM, Wah YB. Power comparisons of shapiro-wilk, kolmogorov-smirnov, lilliefors and anderson-darling tests. Journal of Statistical Modeling and Analytics. 2011;2(1):21-33.

38. Kruskal WH, Wallis WA. Use of ranks in one-criterion variance analysis. Journal of theAmerican Statistical Association. 1952;260(47):583-621.

39. Jolliffe I. Principal component analysis: Wiley Online Library; 2005.

40. Vanderlei F, Vanderlei LCM, de Abreu LC, Garner D. Entropic Analysis of HRV in Obese Children. International Archives of Medicine. 2015;8.

41. Sassi R, Cerutti S, Lombardi F, et al. Advances in heart rate variability signal analysis: joint position statement by the e-Cardiology ESC Working Group and the European Heart Rhythm Association co-endorsed by the Asia Pacific Heart Rhythm Society. Europace. 2015 Sep;17(9):1341-53.